Abstract

Methods

A cross-sectional survey of American parents was used to evaluate changes to their children’s nutritional patterns during the pandemic. Participants were recruited through Facebook advertisements and snowball sampling. Data was collected through an electronic survey. Descriptive statistics and Pearson correlation were calculated. Qualitative data was organized by question stem. Once organized, responses were summarized by topics and sub-topics.

Results

There was not a significant change in the perceived intake of foods from the major food groups, however parents reported increased snacking behavior, including processed foods. Participation in school nutrition assistance programs, including free or reduced price meals did increase during the pandemic and parents perceived these programs as more important.

Applications To Child Nutrition Professionals

School nutrition programs were perceived as increasingly important as families navigated the fallout of the pandemic which was complicated by financial strain and food insecurity. The increase in snacking behavior raises concerns about the long term consequences of the pandemic. It is possible the change in snacking behavior was the product of food access concerns and children being at home during the pandemic. Administrators and policymakers should build upon what was learned during the pandemic to improve community infrastructure and capacity to support school nutrition assistance program participation.

Full Article

This project aimed to evaluate how children’s nutritional intake changed during the COVID-19 pandemic and how school nutrition programs had impact, as reported by parents in the United States.

Literature Review

In late 2019, a novel coronavirus known as SARS-CoV-2 emerged and quickly spread, infecting millions of people across the globe and rapidly reaching pandemic status. A state of national emergency was declared in the United States (H. Doc. 116-108, 2020), spurring statewide lockdowns, that affected nearly every American, including school-aged children who rely on school meals and federally funded programs, such as the National School Lunch Program (NSLP) and School Breakfast Program (SBP).

Shifts to virtual learning disrupted school meal programs. While the United States Department of Agriculture (USDA) did not mandate schools to serve meals during closures or periods of extended dismissal, the agency encouraged schools to offer meals akin to the Seamless Summer Option or Summer Food Service Program (USDA, 2020). Prior to the pandemic, many schools lacked experience with summer feeding programs, making implementation a foreseeable challenge (Dunn et al., 2020). It was believed that schools might encounter difficulties connecting students with food during the pandemic (Turner, 2020). Despite the challenges, schools and communities adapted, innovated, and came together. Waivers related to non-congregate meal service, parent pick up, multiple meals, and free meals for all offered schools the flexibility they needed to meet community needs (USDA, 2022).

Households with children experienced higher rates of food insecurity during the earlier stages of the pandemic from 2019-2020 and at the same time, the number of school meals served decreased in 2020 (Lacko, 2022). Children were at risk for shifts in nutritional patterns, such as increased consumption of unhealthy foods and snacking (Ammar et al., 2020). The pandemic may have widened socioeconomic disparities related to dietary quality and food security among children who rely on school nutrition programs (Dunn et al., 2020). Given these concerns, we were interested in exploring changes in nutritional intake, parental perceptions, and how school nutrition programs may have contributed to nutrition intake.

 Methods

 A cross sectional survey of parents was conducted to explore the nutritional impact of COVID-19 among school aged children in the U.S. The study was approved by the Institutional Review Board at Bowling Green State University.

 Recruitment and Data Collection

Facebook advertisements were used to reach U.S. adults whose Facebook activity suggested that they were parents and had school-aged children. Snowball sampling was used as participants were asked to share the study invitation with others. Consent was indicated if the participant proceeded with the online Qualtrics survey. Data was collected from February 22, 2021, through March 15, 2021.

Instrument

The survey included measures obtained from the COVID-19 resources available from the PhenX Toolkit (Hamilton, et al., 2011). Measures related to food security and dietary changes were obtained from The Household Pulse Survey (U.S. Census Bureau, 2021) and the Pennington Biomedical COVID-19 Survey (Flanagan, et al., 2021). Questions related to changes in food patterns and shopping were adapted from the “COVID-19 Documenting Challenges Faced by California Families with Children 0-5 Years Old on WIC Survey” (Ritchie et al., 2021). For example, participants were asked “Compared to before the COVID-19 pandemic, my child(ren)’s fruit (examples: apples, bananas, pears, kiwi, berries; not including fruit juice) consumption during the COVID-19 pandemic is” with options to select from much more, somewhat more, about the same, somewhat less, much less. Parents were asked to select what school nutrition assistance programs, if any their child participated in before and during the pandemic by selecting “yes” or “no” from a list of programs: school lunch, breakfast, snack, and free or reduced price meals/snacks. The survey collected data on perceptions, challenges, demographics, and zip codes to ascertain geographic location. Most questions were closed-ended using a Likert scale; however, there was also opportunity for qualitative comments. Parents had the option to enter a lottery for a chance to win one of four $50 electronic gift cards.

Data Analyses

Incomplete (<100% complete) and duplicate responses based on IP address, as well as responses from those not meeting inclusion criteria (adult, parent of school-aged child) or those residing outside the U.S., were excluded. Descriptive statistics and Pearson correlation were calculated using IBM’s Statistical Package for the Social Sciences (SPSS), Version 27.0. Qualitative comments were organized based on the question stem and data were used to articulate the quantitative findings.

Results And Discussion

Demographics and Background

Out of the 272 responses, 82 were excluded, resulting in a final sample of 190. Respondents hailed from all regions and varied in parental age, ethnicity, and annual household income (Table 1).

Children’s Nutritional Intake

Overall, 69.5% of children consumed an average of three meals per day, compared to 84.2% before the pandemic. There was an increase in the number of children who typically ate two meals per day (11.1% vs. 4.7% before the pandemic) and more than 3 meals per day (18.8% vs. 10.9%). Most reported that their children’s consumption of foods from major food groups was about the same; however, parents reported an increase in snacking from a bag or box and less fresh foods (Table 2). As children spent more time at home, sometimes without oversight of meals and snacks, this may have led to an increase in snacking (Figure 1). Keeping a regular meal schedule while working and managing remote school schedules were some of the challenges cited by parents (Figure 1).

An analysis of USDA School Nutrition and Meal Cost data estimated that as fewer school meals were prepared during the pandemic and families relied on more home prepared meals there was an increase in excess weekly caloric consumption (Hecht, et al., 2022). Snacking habits that children develop when they are young can significantly impact their future health and lifestyle (Au et al., 2018). Unintentional weight gain and dental problems due to snacking were reported by parents (Figure 1).

School Nutrition Program Participation

Most (89.1%) indicated that schools offered free or reduced-price meals throughout the pandemic. There were no significant correlations found between changes in food intake and school nutrition program participation (Table 2). More children participated in school nutrition programs, including a 34.4% increase in participation in free or reduced programs (Table 1); however, this may have been the product of expanded free meals for all, rather than standard eligibility. Parents commented on the benefits of expanded free meals by filling gaps in the home food supply and increasing fruit-vegetable intake (Figure 1).

Many schools utilized meal pick-up options (49.5%) or offered onsite meals (44.7%). Only 33.6% reported always being able to pick up school meals and 18% said they never could. While most parents indicated that the school had a designated pick up time and place, time was the most common barrier (Figure 1). Transportation has previously been cited as a challenge to summer programs (Sather, et al., 2021).

Food Security, Financial Limitations, and Access

Two thirds (67.7%) reported that their household had enough food they wanted to eat, 23.3% reported having enough but not always the kinds of foods they wanted to eat, 9.0% reported not having enough to eat, and 15.3% reported that their children were not eating enough due to finances. About a third (33.2%) were in a ‘worse’ financial situation, often due to job loss. In addition, 21% reported that financial changes limited their household food purchases at least half of the time. We did find that financial limitations correlated with children eating fewer vegetables (r = -.25, p = .001) and fruits (r = -.20, p = .005). The findings are consistent with research linking food insecurity with reduced fruit and vegetable intake during the pandemic (Litton & Beavers, 2021).

When asked why there was not enough food or not always the kinds of food desired, 24.7% of parents indicated stores not having the foods they wanted. Most (89.5%) reported purchasing changes due to stock and about half (46.8%) purchased more shelf-stable foods and 28.4% purchased fewer fresh fruits and vegetables. Purchase of shelf-stable foods correlated with snacking on food from a bag or a box (r = .17, p = .02). The convenience and shelf life may have contributed to the reported changes in snacking behavior.

Perception of School Nutrition Programs

Perception of school nutrition assistance programs improved during the COVID-19 pandemic, with most parents (60%) viewing these programs as more important. Public attention towards school nutrition programs during the pandemic (Whitesell & Fitch, 2022) may have positively influenced parental perceptions. Similarly, school nutrition employees reported an increase in the public’s value and gratitude for school nutrition programs during the pandemic (Patten, et al., 2021). Parents commented on the emotional value of school meals, including social connection (Figure 1). It is possible that the shift in perception was driven by increased needs related to finances and access (Figure 1).

Conclusions And Applications

This study provides a glimpse into the nutritional impact of the pandemic on U.S. school-aged children and explores some of the factors that have influenced children’s nutritional intake. These findings speak to the important role of school nutrition programs and underscores their position as safety nets for at-risk families and children. While this study adds valuable insight, it is based on a convenience sample and not without limitations. A higher proportion of responses were from the Midwest region. It is possible that this was influenced by snowball sampling and the Midwest having familiarity with the researchers’ university. Responses were limited to parents with access to the internet and Facebook. However, evidence suggests that Facebook has remained one of the most widely used social media sites among U.S. adults (Pew Research Center, 2021). Parents provided a proxy report which may be subject to bias. The nutritional assessment was limited and did not capture the full understanding of how COVID-19 impacted nutritional intake among children. We did not assess frequency of participation in school nutrition assistance programs, nor did our data collection distinguish participation as a result of no cost waivers opposed to standard eligibility. We also did not examine other potential confounders, such as household participation in the Supplemental Nutrition Assistance Program. It is important to consider that our data was collected in February and March 2021. As schools reopened in the 2021-2022 school year and the no charge waivers continued there were more meals served compared to 2020-2021 (Lacko, 2022).

We did see a reported increase in snacking behavior and parents cited concerns related to the choice and amount selected by children at home. It is conceivable that the pandemic exacerbated a widespread issue related to snacking behavior among children in the U.S. (Wang, et al., 2021). Expansion of school snack programs is one strategy to consider.

Many parents reported that their children had regular access to school meals, yet others described challenges with pick up. Many parents perceived programs as more important which coincides with parental responses describing how school meals addressed gaps in food supply, social connection, and diet quality. While we did not observe significant changes in reported intake of major food groups, one possibility is that participation maintained the status quo for children. The impact of meals being served onsite vs. offsite is also not clear.

We saw an increase in participation in free or reduced-price school meal programs during the pandemic, which was likely the result of free meals for all, regardless of financial eligibility. School policies and long-term expansion of free school meals were cited as components of the White House’s 2022 national strategy to end hunger (U.S. Department of Health and Human Service, 2022). Since the pandemic, several states including California, Maine, Connecticut among others have enacted legislation to make school meals for all a reality. At the time of this report, no legislation was passed to make snacks available at no cost; however, legislation that would also provide free after school snacks had been introduced (Council of the District of Columbia, 2023). Policymakers, schools, communities, and families should continue working together to build upon infrastructure and community capacity to champion school nutrition for all.

Acknowledgements

This project was funded by the Bowling Green State University Center for Undergraduate Research and Scholarship.

Table 1. Sample Characteristics of U.S. Parents Who Responded to a Cross-Sectional Survey About Their Children(s)’ Nutritional Patterns and COVID-19

Background Variable n (%)a
US Region of Residenceb
Northeast 24 12.5%
Midwest 74 38.9%
South 53 27.9%
West 39 20.5%
Parental Age    
18–25 2 1.1%
26–30 10 5.3%
31–40 66 34.7%
41–50 91 47.9%
50+ 21 11.1%
Parental Ethnicity    
White 154 81.5%
Hispanic/Latino 17 9%
Black/African American 5 2.6%
Asian/Pacific Islander 6 3.2%
Native American 2 1.1%
Other 5 2.6%
Annual Household Income    
< $30,000 43 22.9%
$30,000–50,000 27 14.4%
$50,000–70,000 26 13.8%
$70,000–100,000 37 19.7%
$100,000–150,000 37 19.7%
>$150,000 18 9.6%

a Valid percentage is reported; not all percentages will add to 100% as respondents could mark more than 1-option for some items

b Based on self-reported zip code and U.S. Census Bureau Geographic Regional Definition

c Only respondents who indicated their child participated in a school meal or snack program were asked if their child received free or reduced-price meals or snacks.

Table 1. Sample Characteristics of U.S. Parents Who Responded to a Cross-Sectional Survey About Their Children(s)’ Nutritional Patterns and COVID-19

Number of Children in Household    
1 72 37.9%
2 76 40%
3 24 12.6%
4 12 6.3%
5 4 2.1%
6 2 1.1%
Ages of Children    
5–7 84 23.4%
8–10 111 30.9%
11–13 85 23.7%
14–16 59 16.4%
17–18 20 5.6%
Grade Levels of Children    
Pre-Kindergarten – 1st 78 21.4%
2nd – 5th Grade 138 37.9%
6th – 8th Grade 81 22.3%
9th – 12th Grade 67 18.4%
Educational Institution

Public School

Private School

Homeschool

Other

 

162

15

23

7

 

85.3%

7.9%

12.1%

3.7%

Learning Experience
Fully In-Person

Fully Online/Virtual

Hybrid

76

82

68

40.0%

43.2%

35.8%

Participation in School Nutrition Programs    
Breakfast, before 66 34.7%
Breakfast, after 76 40%
Lunch, before 123 64.7%
Lunch, during 128 67.4%
Before or afterschool snack, before 17 8.9%
Before or afterschool snack, during 20 10.5%
Free or reduced price, beforec 76 58.9%
Free or reduced price, duringc 125 93.3%

Table 1. Sample Characteristics of U.S. Parents Who Responded to a Cross-Sectional Survey About Their Children(s)’ Nutritional Patterns and COVID-19

Number of Children in Household    
1 72 37.9%
2 76 40%
3 24 12.6%
4 12 6.3%
5 4 2.1%
6 2 1.1%
Ages of Children    
5–7 84 23.4%
8–10 111 30.9%
11–13 85 23.7%
14–16 59 16.4%
17–18 20 5.6%
Grade Levels of Children    
Pre-Kindergarten – 1st 78 21.4%
2nd – 5th Grade 138 37.9%
6th – 8th Grade 81 22.3%
9th – 12th Grade 67 18.4%
Educational Institution

Public School

Private School

Homeschool

Other

 

162

15

23

7

 

85.3%

7.9%

12.1%

3.7%

a Valid percentage is reported; not all percentages will add to 100% as respondents could mark more than 1-option for some items

b Based on self-reported zip code and U.S. Census Bureau Geographic Regional Definition

c Only respondents who indicated their child participated in a school meal or snack program were asked if their child received free or reduced-price meals or snacks.

Table 1. Sample Characteristics of U.S. Parents Who Responded to a Cross-Sectional Survey About Their Children(s)’ Nutritional Patterns and COVID-19

Learning Experience
Fully In-Person

Fully Online/Virtual

Hybrid

76

82

68

40.0%

43.2%

35.8%

Participation in School Nutrition Programs    
Breakfast, before 66 34.7%
Breakfast, after 76 40%
Lunch, before 123 64.7%
Lunch, during 128 67.4%
Before or afterschool snack, before 17 8.9%
Before or afterschool snack, during 20 10.5%
Free or reduced price, beforec 76 58.9%
Free or reduced price, duringc 125 93.3%

a Valid percentage is reported; not all percentages will add to 100% as respondents could mark more than 1-option for some items

b Based on self-reported zip code and U.S. Census Bureau Geographic Regional Definition

c Only respondents who indicated their child participated in a school meal or snack program were asked if their child received free or reduced-price meals or snacks.

Table 2. Impact of COVID-19 on Nutritional Intakea and Relationship to Participation in School Nutrition Programs During the Pandemicb

Intake Much more (%) Somewhat more

(%)

About  same (%) Somewhat less

(%)

Much less (%) School Breakfast

rc

School Lunch

rc

School Snack

rc

Free/Reduced Program

rc

Food Group Intake
Vegetables 5.8 11.6 60 16.8 5.8 .08 .11 -.03 -.14
Fruits 6.3 21.2 54.5 12.7 5.3 -.06 .03 -.06 -.07
Whole Grains 5.8 16.3 60 13.7 4.2 .08 .08 -.004 -.14
Protein 4.2 18.4 65.3 10 2.1 .02 .07 .06 -.09
Dairy 7.9 22.6 52.1 12.1 5.3 .04 -.09 -.0004 -.13
Snacking Intaked
From bag/box 24.7 44.7 19.5 6.8 4.2 -.07 -.12 -.003 -.05
Fresh foods 6.3 25.8 47.4 13.2 7.4 .05 .13 -.04 -.03

a Parents were asked to report their perception of their child(ren)’s changes in nutritional patterns as compared to before the pandemic. For example, “Compared to before the COVID-19 pandemic, my child(ren)’s vegetable consumption (examples: broccoli, carrots, string beans) during the COVID-19 pandemic is now…”

b Participation in school breakfast, school lunch, school snack program, or free or reduced meal/snack program during the pandemic

c Pearson correlation test results, no correlation results were statistically significant

d Snacking from foods from a bag or box; snacking from fresh foods (fruits, vegetables)

Figure 1.                                                                                                                                           

Examples of Qualitative Responses Shared by Parents

References

Ammar, A., Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., Bouaziz, B., Bentlage, E., How, D., Ahmed, M., Muller, P., Muller, N., Aloui, A., Hammouda, O., Painerias-Domingos, L.L., Braakman-Jansen, A., Wrede, C., Bastoni, S., Pernambuco, C.S., … Hoekelmann, A. (2020). Effects of COVID-19 home confinement on physical activity and eating behaviour: Preliminary results of the ECLB-COVID19 international online-survey. Nutrients, 12(6). doi:10.37473/fic/10.1101/2020.05.04.20072447

Council of the District of Columbia. B25-0035 – Universal Free School Meals Amendment Act of 2023. Retrieved September 1, 2023 at: https://lims.dccouncil.gov/Legislation/B25-0035

Dunn, C. G., Kenney, E., Fleischhacker, S. E., & Bleich, S. N. (2020). Feeding low-income children during the Covid-19 pandemic. New England Journal of Medicine, 382(18). doi:10.1056/nejmp2005638

Flanagan, E. W., Beyl, R. A., Fearnbach, S. N., Altazan, A. D., Martin, C. K., & Redman, L. M. (2021). The impact of COVID-19 stay-at-home orders on health behaviors in adults. Obesity, 29(2), 438–445. https://doi.org/10.1002/oby.23066

  1. Doc. 116-108. (2020) Declaration of a national emergency concerning the novel coronavirus disease (COVID-19) outbreak. https://www.govinfo.gov/content/pkg/CDOC-116hdoc108/pdf/CDOC-116hdoc108.pdf

Hamilton, C. M., Strader, L. C., Pratt, J. G., Maiese, D., Hendershot, T., Kwok, R. K., Hammond, J.A., Huggins, W., Jackman D., Pan H., Nettles, D.S., Beaty, T.H., Farrer, L.A., Kraft, P., Marazita, M.L., Ordovas, J.M., Pato, C.N., Spitz, M.R., Wagener, D., …  Haines, J. (2011). The PhenX Toolkit: get the most from your measures. American Journal of Epidemiology174(3), 253-260.

Hecht, A. A., Dunn, C. G., Kinsey, E. W., Read, M. A., Levi, R., Richardson, A. S., Hager, E.R., & Seligman, H. K. (2022). Estimates of the nutritional impact of non-participation in the national school lunch program during COVID-19 school closures. Nutrients14(7), 1387.

Lacko, A. (2022, September, 09). The pandemic disrupted a decade-long decline in food insecurity in 2020, but government policy has been a critical support. Food Research & Action Center. Retrieved on August 29, 2022 from https://frac.org/blog/food-insecurity-and-2022-poverty-reports

Litton, M. M., & Beavers, A. W. (2021). The relationship between food security status and fruit and vegetable intake during the COVID-19 pandemic. Nutrients13(3), 712. https://doi.org/10.3390/nu13030712

Patten, E. V., Spruance, L., Vaterlaus, J. M., Jones, M., & Beckstead, E. (2021). Disaster management and school nutrition: A qualitative study of emergency feeding during the COVID-19 pandemic. Journal of the Academy of Nutrition and Dietetics121(8), 1441-1453.

Ritchie, L., Hecht, C., Au, L., Vital, N., Strochlic, R., Tsai, M., Hecht, K., Olague, C., Rios, A., Anderson, C., Martinez, C., Meza, M., Whaley, S. (June 2021). Informing the future of WIC: Lessons learned during COVID-19 from California WIC participants. University of California Nutrition Policy Institute. Retrieved December 13, 2021, from https://ucanr.edu/sites/NewNutritionPolicyInstitute/files/352389.pdf

Pew Research Center. (2021, April 7). Social media use in 2021. Retrieved August 29, 2023, from https://www.pewresearch.org/internet/2021/04/07/social-media-use-in-2021/

Sather, S., Schumacher, J., Lanier, J., Fehrenbacher, J., & Bardwell, A. (2021). Impact of summer mobile feeding sites on increasing children’s access to food. Journal of Child and Nutrition Management45, n1.

Turner, C. (2020, September 08). ‘Children Are Going Hungry’: Why schools are struggling to feed students. Retrieved November 15, 2020, from https://www.npr.org/2020/09/08/908442609/children-are-going-hungry-why-schools-are-struggling-to-feed-students

U.S. Census Bureau. (2021). COVID-19 household pulse survey phase 3. Retrieved August 29, 2023, https://www2.census.gov/programs-surveys/demo/technical-documentation/hhp/Phase%203%20Questionnaire_02.25.21_English.pdf

U.S. Department of Agriculture (USDA). (2020, March 06). Child nutrition program meal service during COVID-19 outbreaks. Retrieved August 29, 2023, from https://www.fns.usda.gov/cn/meal-service-during-novel-coronavirus-outbreaks

U.S. Department of Agriculture (USDA). (2022, July 12). Child nutrition Covid-19 waivers. Retrieved August 29, 2023, from https://www.fns.usda.gov/disaster-assistance/child-nutrition-covid-19-waivers

U.S. Department of Health and Human Services (USDHHS) Office of the Secretary, Office of the Assistant Secretary for Health, Office of Disease Prevention and Health Promotion. (2022, September 28). White House Conference on Hunger, Nutrition, and Health. Retrieved August 21, 2023, from https://whitehouse.gov/hungerhealthconference

Wang L, Martínez Steele E, Du M, et al. Trends in consumption of ultraprocessed foods among US youths aged 2-19 years, 1999-2018. Journal of the American Medical Association, 2021;326(6):519–530. doi:10.1001/jama.2021.10238

Whitesell, A., & Fitch, H. (2022). Using social media to promote school nutrition programs during the COVID‐19 pandemic. Journal of School Health92(5), 485-492.

Purpose / Objectives

This study evaluated the effects of the COVID-19 pandemic on children within the U.S. by assessing how parents’ perceptions of children’s nutritional patterns changed in relationship to school nutrition assistance program participation.